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* Remove magic-doc-links from code.Gravatar Mark Daoust2018-08-16
| | | | | | | | | | This change contains no code changes. Only doc-strings. We can't use relative links in code files, so we don't have much choice but to link to tensorflow.org/ The deleted links were to docs that no longer exist. PiperOrigin-RevId: 209019572
* Remove usage of magic-api-link syntax from source files.Gravatar Mark Daoust2018-08-09
| | | | | | | | | | | | | | | | | | | | Back-ticks are now converted to links in the api_docs generator. With the new docs repo we're moving to simplify the docs pipeline, and make everything more readable. By doing this we no longer get test failures for symbols that don't exist (`tf.does_not_exist` will not get a link). There is also no way, not to set custom link text. That's okay. This is the result of the following regex replacement (+ a couple of manual edits.): re: @\{([^$].*?)(\$.+?)?} sub: `\1` Which does the following replacements: "@{tf.symbol}" --> "`tf.symbol`" "@{tf.symbol$link_text}" --> "`tf.symbol`" PiperOrigin-RevId: 208042358
* Quick return with simpler reshape op if the frame hop and frame length are ↵Gravatar A. Unique TensorFlower2018-08-09
| | | | | | statically known and their values are equal (i.e. no overlap). #tf-signal PiperOrigin-RevId: 208002136
* Remove float64 math in linear_to_mel_weight_matrix.Gravatar RJ Ryan2018-07-20
| | | | | | This was causing portability problems for platforms that do not support float64. Callers who want higher precision can simply pass tf.float64 as the dtype. PiperOrigin-RevId: 205457007
* Reduce Grappler overhead by skipping optimizers when the graph is tiny.Gravatar A. Unique TensorFlower2018-06-18
| | | | PiperOrigin-RevId: 201095811
* Enable fetching shapes from the C API by default.Gravatar Skye Wanderman-Milne2018-06-15
| | | | | | | | | | | | | | | | | Prior this change, we were using the C API for everything except Tensor.shape calls, which returned the result from the original Python shape inference code. With this change, we use the C API in this case as well. The C API has better shape inference, so this has the effect of returning more precise shapes in some cases. This change can be disabled by setting the environment variable TF_C_API_GRAPH_CONSTRUCTION_SHAPES=0. However, this toggle will be removed altogether in the near future. This also fixes a bug in the SWIG that could cause large shape dimensions to be incorrect. PiperOrigin-RevId: 200783822
* Merge changes from github.Gravatar Yifei Feng2018-05-24
| | | | | | | Revert #18413. Too many internal test failures due to the name scope change caused by this change. Revert #18192. Cannot use re2::StringPiece internally. Need alternative for set call. Will pull and clean this up in a separate change. PiperOrigin-RevId: 197991247
* Update build visibility of //third_party/tensorflow/contrib/signalGravatar Peter Hawkins2018-05-23
| | | | PiperOrigin-RevId: 197747430
* Improve shape inference for tf.contrib.signal.frame.Gravatar RJ Ryan2018-05-01
| | | | PiperOrigin-RevId: 194972934
* Merge changes from github.Gravatar Yifei Feng2018-04-23
| | | | PiperOrigin-RevId: 194031845
* Fixed the shape function of the SplitV op that incorrectly often assumed thatGravatar Benoit Steiner2018-03-28
| | | | | | the shape of all the outputs is the same. PiperOrigin-RevId: 190879600
* Remove all_opensource_files. It's not needed any more.Gravatar Martin Wicke2018-03-28
| | | | PiperOrigin-RevId: 190878279
* Improved shape inference for reshapeGravatar Benoit Steiner2018-03-27
| | | | PiperOrigin-RevId: 190651873
* Merge changes from github.Gravatar Yifei Feng2018-02-22
| | | | PiperOrigin-RevId: 186674197
* [tf-signal] Fix exception when input shape is unknown in ↵Gravatar RJ Ryan2018-02-03
| | | | | | mfccs_from_log_mel_spectrograms. PiperOrigin-RevId: 184400783
* Add assertion to prevent generation of degenerate linear_to_mel_weight_matrix.Gravatar A. Unique TensorFlower2018-01-09
| | | | | | | | Prior to this change if upper_edge_hertz is larger than sample_rate / 2 (the highest frequency present in the linear spectrogram), the returned matrix would contain columns that are all zeros. This is likely a surprising result for those that are unfamiliar with signal processing, so it seems safer to raise an exception on such a misconfiguration than to silently allow users to generate poorly behaved features. PiperOrigin-RevId: 181407176
* Merge changes from github.Gravatar Raghuraman Krishnamoorthi2018-01-03
| | | | PiperOrigin-RevId: 180746153
* Further BUILD cleanup in contrib/...Gravatar A. Unique TensorFlower2017-11-10
| | | | PiperOrigin-RevId: 175370768
* [tf-signal] Add inverse_stft_window_fn to tf.contrib.signal.Gravatar A. Unique TensorFlower2017-11-03
| | | | | | | | | | | | To reconstruct an original waveform, a complimentary window function should be used in inverse_stft. Such a window function can be constructed with tf.contrib.signal.inverse_stft_window_fn. Inlines and refactors the test for equivalence of inverse_stft and original waveform. Adds a test case that shows a large difference between inverse stft with and without complimentary window function. PiperOrigin-RevId: 174530978
* BUILD cleanup in contrib/...Gravatar A. Unique TensorFlower2017-10-30
| | | | PiperOrigin-RevId: 173889798
* Merge changes from github.Gravatar Frank Chen2017-10-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit ee0fdc296 authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add noasan tag to estimator_test PiperOrigin-RevId: 171075499 --- Commit a02116882 authored by Justin Lebar<jlebar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Put the HLO name in IR values that hold the HLO's value. PiperOrigin-RevId: 171075449 --- Commit 89aaac4bc authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow Layer.add_update() in Eager mode. PiperOrigin-RevId: 171070861 --- Commit 840dcae57 authored by Amit Patankar<amitpatankar@google.com> Committed by gunan<gunan@google.com>: Updating the install sources file with a supported configs table (#13450) * Updating the install sources file with a supported configs page. * Implementing Gunan's suggestions. * Adding GCC string to Linux compiler. * Updating the bazel/cmake column. --- Commit 89df2e336 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add the 'is_the_final_export' signal to Exporters. Use them in training. When the training ends, the final export is performed via `Exporter.export()` call. That final export is going to have is_the_final_export parameter being set to true. If `TrainSpec.max_steps` is `None`, then "when training ends" is undefined. We are going to train forever. In that case, `is_the_final_export` is going to be always False. I added a note about it. PiperOrigin-RevId: 171070760 --- Commit 4486b4f69 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make graph_callable compatible with functions that do not return anything PiperOrigin-RevId: 171067061 --- Commit 39565c0cb authored by Martin Wicke<wicke@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Publish train_and_evaluate and associated classes. PiperOrigin-RevId: 171066379 --- Commit 3b4477000 authored by Saurabh Saxena<srbs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make VariantTensorData::tensors_size() const. PiperOrigin-RevId: 171063397 --- Commit 53cc63a2d authored by Dhananjay Nakrani<dhananjayn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [part 1] Add support for int32 & int64 in RandomPoissonOp. This computes int32/int64-precision poisson samples with double precision intermediate calculations (same as it's done for `half`) respectively. part 2 will switch over python calls to new op once forward compatibility period has passed. PiperOrigin-RevId: 171058336 --- Commit 70fc9bf9b authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Java: Add support for loading op libraries dynamically. This change adds the equivalent of tf.load_op_library in Python to Java. (https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc was required to make this possible) Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols required by custom op libraries (those exported by the tensorflow_framework library) are not exported by the monolithic JNI library yet. This should help with #10454 and #13476 PiperOrigin-RevId: 171054707 --- Commit e7c53698e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup PiperOrigin-RevId: 171053770 --- Commit cc8ee6c0f authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast path for tf.conj when it should be pass-through. PiperOrigin-RevId: 171053662 --- Commit c41dbc3c1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example. PiperOrigin-RevId: 171052367 --- Commit d66e77f7c authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added get variable utils to tf.estimator.Estimator. PiperOrigin-RevId: 171052121 --- Commit 083bd5dde authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Java: Add support for loading op libraries dynamically. This change adds the equivalent of tf.load_op_library in Python to Java. (https://github.com/tensorflow/tensorflow/commit/5c7f9e316d8c7735308a217310350d416d7498cc was required to make this possible) Though, TensorFlow.loadLibrary() is likely to fail on Windows as symbols required by custom op libraries (those exported by the tensorflow_framework library) are not exported by the monolithic JNI library yet. This should help with #10454 and #13476 PiperOrigin-RevId: 171054707 --- Commit 2fe6cf285 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup PiperOrigin-RevId: 171053770 --- Commit 15155493b authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast path for tf.conj when it should be pass-through. PiperOrigin-RevId: 171053662 --- Commit 6c954d0b3 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adding TF Boosted trees regression example on boston dataset, minor fix for mnist example. PiperOrigin-RevId: 171052367 --- Commit ad69076eb authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added get variable utils to tf.estimator.Estimator. PiperOrigin-RevId: 171052121 --- Commit 3cf41b2ed authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Test save/restore variable from graph_callable. PiperOrigin-RevId: 171051237 --- Commit cf17ec96e authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add V2 versions of output window size computation functions for convolution. These V2 versions take arbitrary dilation rates. In preparation for the support of native cudnn dilated convolution. PiperOrigin-RevId: 171048878 --- Commit 491584ff4 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: eager: Always run dataset iterator operations on CPU. It has no kernels for other devices. With an explicit "tf.device()" before invoking the kernel we ensure that Iterator.next() functions even when placed inside a: with tf.device("/device:GPU:0") PiperOrigin-RevId: 171048558 --- Commit 3b354016e authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Rename SavedModelExporter to LatestExporter. PiperOrigin-RevId: 171048345 --- Commit 943c6d7af authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: errors out if the evaluator has task id > 0. PiperOrigin-RevId: 171047652 --- Commit 8c9ef4466 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit cc521eb06 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Place all the nodes created by the trivial_test_graph_input_yielder PiperOrigin-RevId: 171045878 --- Commit 9b9301240 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Factor out parallel task assignment from cpu parallelization prep (no functional changes). PiperOrigin-RevId: 171045137 --- Commit 558d878d9 authored by Allen Lavoie<allenl@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TFTS: Move normalization to the base class, start using it for state space models Preivously, state space models adjusted their priors based on the data (e.g. setting initial variances to match sample variance) but did not normalize the data itself. When the data has a rather extreme scale, this runs into precision issues. After this CL, state space models will first normalize, then use adjusted statistics on top of that normalization to estimate initial observation/transition noise. Also fixes an issue where start-of-series statistics were incorrect for the first batch (which only shows up with large input scales). PiperOrigin-RevId: 171044863 --- Commit 266f77156 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit c9915d1a2 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Fix pip tests by including test_util in signal_py PiperOrigin-RevId: 171042732 --- Commit f8550f4e9 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Expand set of 64-bit type tests in LocalClientExecuteTest.ShapeBufferToLiteralConversion64bit and factor out into their own test. PiperOrigin-RevId: 171043047 --- Commit 87dc532cd authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Fix pip tests by including test_util in signal_py PiperOrigin-RevId: 171042732 --- Commit 0578dd65e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add more debugging output for XLA send/recv. PiperOrigin-RevId: 171041978 --- Commit 23992bb09 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Several minor documentation fixes. PiperOrigin-RevId: 171038610 --- Commit af14ed3f3 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Some docstring twists and argument validations. PiperOrigin-RevId: 171037949 --- Commit 6b90a65f6 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove "hybrid" HloModuleConfig option. The option was used to generate executables which only generated the array values of tuple-shaped outputs, not the tuple index tables.. With cl/170133015, ShapedBuffers which hold the computation output now have materialized tuples with these index tables so this option is no longer desired or necessary. No functional change. Just cleanup. PiperOrigin-RevId: 171035738 --- Commit 41a0264ab authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added utilities to make global step reading deterministic. Used them in Estimator. Enabled/Fixed some tests. PiperOrigin-RevId: 171035291 --- Commit 9d7843c0a authored by Skye Wanderman-Milne<skyewm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add optional unused_input_map_keys output param to ImportGraphDef This is a more general feature than that in the Python importer, which raises an exception if the input map contains unused names. PiperOrigin-RevId: 171029316 --- Commit 4f10a6597 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add vlogging of HloModule before and after fusion. PiperOrigin-RevId: 171029054 --- Commit 9e658545a authored by Reed Wanderman-Milne<reedwm@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Document what dtype tf.image.resize_images returns. For consistency, tf.image.resize_images now will always return a float32 when method != ResizeMethod.NEAREST_NEIGHBOR. Before, it returned the same dtype as its input if it could be determined statically that the height and width would not be changed. PiperOrigin-RevId: 171028825 --- Commit 4d70239f0 authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Replace the contrib FC with core FC in canned Estimator docstring. PiperOrigin-RevId: 171027602 --- Commit 6a1b867ff authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Adds the docstring with details for tf.estimator.train_and_evaluate PiperOrigin-RevId: 171027527 --- Commit 7209c1602 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Mark IdentityN as CompilationOnly(). PiperOrigin-RevId: 171025171 --- Commit 8e22eb874 authored by FAIJUL<md.faijul.amin@intel.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: Eigen BiasAdd and BiasAddGrad Fix for NCHW Format. (#13158) --- Commit 7db7a890c authored by Jingyue Wu<jingyue@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Grappler] Move InferOutputShapes to GraphProperties. So it can be used by other optimizers. No functional changes. PiperOrigin-RevId: 171010106 --- Commit 2114fd51e authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Improve numerical stability of SoftPlus. PiperOrigin-RevId: 171003559 --- Commit 727d6270f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix race condition in TensorForest tree traversal. PiperOrigin-RevId: 170990425 --- Commit d016cb020 authored by Suharsh Sivakumar<suharshs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix c++ gradients issue where multiple dependent outputs result in incorrect answer. The issue is that we incorrectly calculate the pending num_expected_backprops for outputs nodes when one output transitively depends on another. this is because we use output nodes as an indicator of when we need to end our traversal. Instead we should only use output nodes that don't transitively get consumed by other output nodes as end indicators for our traversal. This change implements that fix. Fixes #13190 PiperOrigin-RevId: 170971937 --- Commit 5405f3bd7 authored by gunan<gunan@google.com> Committed by Frank Chen<frankchn@gmail.com>: Fix tf-signal tests on pip packages. (#13483) --- Commit f9f037c1c authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Bugfix to LSTMBlockCell and friends: clipping is off by default. * Rename broken API argu clip_cell boolean to cell_clip value. * Make default no clipping. PiperOrigin-RevId: 170960975 --- Commit bfaaefa9e authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update APIs for TPU Cluster Resolver to remove the custom API definition and instead use a standard definition file stored in GCS. PiperOrigin-RevId: 170960877 --- Commit c31c118a3 authored by Ian Langmore<langmore@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extend tf.contrib.bijector API to handle some non-injective transforms. AbsoluteValue Bijector added to contrib/distributions/bijectors/ TransformedDistribution udpated to handle some non-injective transforms. PiperOrigin-RevId: 170960054 --- Commit 664dd0859 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Disable cluster_function_library_runtime_test on Mac OS as it is currently failing with an Unimplemented error PiperOrigin-RevId: 170958505 --- Commit 6af7ab97a authored by Mahmoud Abuzaina<mahmoud.abuzaina@intel.com> Committed by gunan<gunan@google.com>: MKL-DNN open source integration. (#13135) * MKL-DNN conv and build integration * Adding new files that were mistakenly missing from the PR * Minor change in the pip package build file * Added missing #include * Fixed a linking failure when running the bazel test * Fixing BUILD file format * Using -fopenmp for building mkl_dnn only when running on linux * Fixing build rule attribute value * Removing unnecessary deps from mkl test rule * Removed deps on mkl-dnn when not building with --config=mkl --- Commit 93fa1af76 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make graph_callable, defun tf_decorators PiperOrigin-RevId: 170948777 --- Commit b39525785 authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Added comment re:behavior of listener in case of multiple saver hooks. PiperOrigin-RevId: 170946536 --- Commit de14fcbb6 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Support evaluation in `_TrainingExecutor.run_master()`. This CL aims to address the following TODO: # TODO(b/66720832): Once listener API is added into Estimator.train, the # eval and export process should be wrapped as a listener and passed to # _start_distributed_training. The expected behavior should be # 1. The export is invoked after each intermediate evaluation. # 2. The evaluation and export should be invoked correctly at the end of # training. This should be fine if the listener works as intended (it will # send the `after_save` signal for the final ckpt saving). 1. is achieved as follows: a. saving_evaluators are added to the CheckpointSaverHook's listeners inside the Estimator. b. MonitoredSession calls after_run() of CheckpointSaverHook, which in turn calls after_save on the listeners. 2. is achieved in a similar way, but when MonitoredSession calls .end() on CheckpointSaverHook. PiperOrigin-RevId: 170945961 --- Commit d4ea993ca authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Removes unnecessary eager-mode call to convert_to_tensor in record_gradient. PiperOrigin-RevId: 170944265 --- Commit add6d2d03 authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf-signal] Use tf.spectral.dct in mfccs_from_log_mel_spectrograms instead of a private implementation. PiperOrigin-RevId: 170943986 --- Commit b959da92f authored by Jiri Simsa<jsimsa@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixing CPU implementation of parallel_stack for tensors with non-zero rank. PiperOrigin-RevId: 170942814 --- Commit 4cf61262a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Improve TFGAN documentation. PiperOrigin-RevId: 170940188 --- Commit 0068086b9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Introduce `tf.data` namespace. PiperOrigin-RevId: 170939033 --- Commit 0c8dbc1fd authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: matmul uses shape_tuple internally PiperOrigin-RevId: 170938790 --- Commit ad37fa81f authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Refactor ExportStrategies into Exporters. This design eliminates some indirection. Instead of combining an `export_fn` with `make_export_strategy` call to arrive at an ExportStrategy that is going to call the supplied `export_fn` inside its `export` call with Exporters one just defines the `export` call in an Exporter. PiperOrigin-RevId: 170936640 --- Commit b925f8553 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fast-path for EagerTensorBase.dtype PiperOrigin-RevId: 170933005 --- Commit 08e266d9b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pass activity_regularizer to __init__ instead of using the (now deprecated) property setter. PiperOrigin-RevId: 170932807 --- Commit b002c8b7d authored by Jingyue Wu<jingyue@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Grappler] Fold chains of reshapes. Reshape(Reshape(input, shape1), shape2) is equivalent to Reshape(input, shape2). PiperOrigin-RevId: 170932278 --- Commit 075d1d13b authored by horance<horance@aliyun.com> Committed by Frank Chen<frankchn@gmail.com>: remove warning for forward decl (#13459) --- Commit 931609fcf authored by Ryohei Kuroki<ryohei.kuroki@gmail.com> Committed by Frank Chen<frankchn@gmail.com>: Remove unnecessary specification for default kernel name (#13465) --- Commit 94463f521 authored by Akshay Agrawal<akshayka@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Preserve target function signature in custom_gradient decorator PiperOrigin-RevId: 170931715 --- Commit 681056636 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change to simplify prediction ops. - it no longer returns predictions_no_dropout, which is mostly for debugging purpose. - as a consequence, MultipleAdditiveTrees::Predict() doesn't return prediction_no_dropout, and it accept trees_to_include indexes intead of trees_to_drop indexes. PiperOrigin-RevId: 170926422 --- Commit d6e963b82 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: SYCL: Fix build breakage introduced in https://github.com/tensorflow/tensorflow/commit/f0e8c545e0196b8b48ce0ad0f116df97d980d1f1 Fixes #13350 PiperOrigin-RevId: 170923862 --- Commit 5123f2971 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal cleanup. PiperOrigin-RevId: 170922297 --- Commit d0c76cd18 authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Handle the absence of a fresh eval checkpoint in `run_local`. It is ~unexpected condition for an eval checkpoint to not be available after a train call to the estimator. There is a corner case when it is possible, but that's going to be resolved soon. This case is handled for continuous (distributed) evaluation differently. Instead of erroring out, we skip evaluation runs. That behavior is captured in the `test_skip_evaluation_due_to_ckpt` test. PiperOrigin-RevId: 170919925 --- Commit 435b31b9f authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 170892257 PiperOrigin-RevId: 171321707
* [tf-signal] Fix pip tests by including test_util in signal_pyGravatar Shanqing Cai2017-10-04
| | | | PiperOrigin-RevId: 171042732
* [tf-signal] Use tf.spectral.dct in mfccs_from_log_mel_spectrograms instead ↵Gravatar RJ Ryan2017-10-03
| | | | | | of a private implementation. PiperOrigin-RevId: 170943986
* [tf-signal] Add a test that windowing, framing, and mel ops are constant ↵Gravatar RJ Ryan2017-10-02
| | | | | | foldable for constant inputs. PiperOrigin-RevId: 170777731
* Improve a text comment related to MonitoredSession's hooks.Gravatar Igor Saprykin2017-10-02
| | | | | | session_run_hooks.py talks about "monitors", but I'm guessing what's meant is in fact "hooks". Am I right? PiperOrigin-RevId: 170753935
* PiperOrigin-RevId: 170752644Gravatar A. Unique TensorFlower2017-10-02
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* [tf-signal] Add tf.contrib.signal.mfccs_from_log_mel_spectrograms.Gravatar RJ Ryan2017-10-02
| | | | PiperOrigin-RevId: 170753517
* [tf-signal] Remove checks that frame_length <= fft_length in stft and ↵Gravatar RJ Ryan2017-10-01
| | | | | | | | | | inverse_stft. Also add tests for stft/inverse_stft when the shape/rank of the inputs are unknown. Fixes GitHub Issue #13363. PiperOrigin-RevId: 170662530
* [tf-signal] Avoid conditionals in window functions if the window length is ↵Gravatar A. Unique TensorFlower2017-09-28
| | | | | | known statically. PiperOrigin-RevId: 170358086
* Compute static GCD where possible.Gravatar A. Unique TensorFlower2017-09-28
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* Fix broken GitHub links in tensorflow and tensorflow_models resulting from ↵Gravatar Neal Wu2017-09-22
| | | | | | The Great Models Move (a.k.a. the research subfolder) PiperOrigin-RevId: 169763373
* Add mel-scale conversion matrix support to tf.contrib.signal.Gravatar RJ Ryan2017-09-13
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* BUILD cleanupGravatar A. Unique TensorFlower2017-08-25
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* Relax tolerance to fix OSS test failure on MacOS.Gravatar A. Unique TensorFlower2017-08-09
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* Merge changes from github.Gravatar Benoit Steiner2017-08-01
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit e62de3f78 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Handle Reverse in HloEvaluator. Also move HandleCopy to outer visitor instead, since it can be implemented as a type-agnostic copy instead. PiperOrigin-RevId: 163866499 --- Commit 96675956e authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: C API: Avoid converting uninitialized tensorflow::Tensor to TF_Tensor* And return error messages instead of CHECK failing when the conversion fails. PiperOrigin-RevId: 163863981 --- Commit 9593704b2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix framework import function dependency. PiperOrigin-RevId: 163863883 --- Commit 66f148542 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Improve performance of compilation by ~8% by speeding up the hlo rematerialization pass. Changes: . Wrap each HloInstruction* inside an Item structure that keeps associated data. This allows us to get rid of a bunch of hash tables indexed by HloInstruction*. * Switch to an intrusive linked list (instead of std::list) so that we can avoid a hash table that maps to std::list::iterator. * Use inlined vector in a few places. PiperOrigin-RevId: 163848365 --- Commit 6d77a0129 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Hide NonMaxSuppression and NonMaxSuppressionV2 ops and add a python wrapper that sets a backwards compatible default value for iou_threshold. PiperOrigin-RevId: 163844703 --- Commit 1a4499607 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix: add GDN to __init__. Also put it in alphabetical order. PiperOrigin-RevId: 163842410 --- Commit db0e1c6c8 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Don't force inlining of functions marked no-inline PiperOrigin-RevId: 163842238 --- Commit 18718b6f7 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Misc grappler improvements: * Avoid copying optimized graphs since that takes time. * Avoid optimizing a pruned graph, since it's already been pruned there isn't much to gain PiperOrigin-RevId: 163842122 --- Commit 90abbf684 authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use OP_REQUIRES instead of an assertion to validate op arguments PiperOrigin-RevId: 163841759 --- Commit 203c3f5fd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Infer unknown shapes for functions in C++ As we are implementing function support through C API, the new code path runs shape inference of Operations representing functions, but we don't yet support shape inference for functions. Before this change, adding a function NodeDef would result in error. This change pairs all functions with a shape inference function that sets all output shapes to unknown. PiperOrigin-RevId: 163830793 --- Commit 3cc5fc088 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Implement MirrorPad op. Addresses #11890 * Improves the shape inference error message for concatenate. * Adds a helper to Literal that gets an integral value converted to int64. PiperOrigin-RevId: 163829437 --- Commit c7b674fa2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: flatten_up_to should return values, not keys PiperOrigin-RevId: 163809688 --- Commit 6209b4b52 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Minor refactoring the TF_Tensor <-> PyArray conversion functions. PiperOrigin-RevId: 163802822 --- Commit 618f913bb authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Speed up topological sort by avoiding copies. The speedup is about 10-20%. PiperOrigin-RevId: 163800134 --- Commit 6446895aa authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove and replace broken giflib download link PiperOrigin-RevId: 163796393 --- Commit 9d5613088 authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA:CPU] Atomically enqueue tuple buffers for outfeed. Previously it was possible that a distinct thread could hop in between the buffer enqueues done by a tuple-outfeeding thread. This changes the sequence to enqueue all the tuple buffers as an atomic unit. PiperOrigin-RevId: 163781804 --- Commit b882d686f authored by Bjarke Hammersholt Roune<broune@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow cost estimates to differ per backend and include the estimates into the HLO profile. Add a summary table for what categories have the most opportunity for optimization left in them. PiperOrigin-RevId: 163780413 --- Commit 14b736761 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pass stats_collector when using SymbolicGradientOp. PiperOrigin-RevId: 163773897 --- Commit 5202a5b6c authored by RJ Ryan<rjryan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix some typos in StreamExecutor's cuFFT support. PiperOrigin-RevId: 163771825 --- Commit edac90c7c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add support to generate pprof results to tf.profiler A fun thing is, it can not only profile time,memory but also parameters, etc. PiperOrigin-RevId: 163767517 --- Commit 78a90370e authored by Eli Bendersky<eliben@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Refactor CreateModuleConfig to share code between multiple call-sites. Previously Service, LocalService and CompileOnlyService had their own code to create a new HloModuleConfig, with much repetition (and some ommissions); collect all these uses in a single method. PiperOrigin-RevId: 163766869 --- Commit 6150611ae authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change. PiperOrigin-RevId: 163765028 --- Commit 9e7875437 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add the option of including Shape, ShapeN, Size and Rank in the standard TensorFlow constant propagation pass, when the inputs to those Ops have sufficiently known static shape. PiperOrigin-RevId: 163762750 --- Commit 8b1365bb4 authored by Yuefeng Zhou<yuefengz@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Infer output shape for restore op. PiperOrigin-RevId: 163762216 --- Commit 2e2a8536d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update WorkerCacheLogger::RecordDataTransfer to not modify the details if provided. PiperOrigin-RevId: 163761089 --- Commit d03ba54f7 authored by Yangzihao Wang<yangzihao@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use BlasGemv() when autotune is not set. PiperOrigin-RevId: 163754092 --- Commit 724884f1c authored by Justin Lebar<jlebar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Show layouts in HLO graph dump. Layouts are displayed as e.g. "f32[100,200]{0,1}". But constants used to be displayed as e.g. "f32[]{42}". To avoid ambiguity, constants are now displayed as e.g. "42 (f32[])". Also gets rid of the xla_hlo_graph_layout flag, which is no longer necessary since we're now showing layouts unconditionally. PiperOrigin-RevId: 163753637 --- Commit 84c2757a6 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move Grappler test GraphDefs to separate files PiperOrigin-RevId: 163751948 --- Commit 0b3a25d68 authored by Asim Shankar<ashankar@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make TF_RESOURCE memory handling consistent with other types. TF_Tensor's are backed by a contiguous memory region for all but TF_RESOURCE tensors. The memory management of TF_RESOURCE tensors required keeping a backing tensorflow::ResourceHandle* object alive for the lifetime of the TF_Tensor object. This change removes that discrepancy, making the memory backing TF_RESOURCE tensors self-contained. This simplifies use of TF_RESOURCE tensors in the C API (as users of the C API do not need to worry about a tensorflow::ResourceHandle object and its lifetime). In doing so, this moves a string memory copy from the TF_Tensor <-> Numpy conversion to the C API from the Python session helper. Unfortunately, I couldn't figure out how to add a simple unittest in c_api_test.cc. The more comprehensive tensorflow/python/kernel_tests/session_ops_test.py does cover the changed lines though. Additionally, avoid an unnecessary copy when creating TF_STRING or TF_RESOURCE tensors (as eigen alignment is not a requirement for them). PiperOrigin-RevId: 163751880 --- Commit 1333e7745 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow one tensor to be the input to the estimator. PiperOrigin-RevId: 163747076 --- Commit 104f349e9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update Conv2DShape function to handle filters that have data NCHW_VECT_C layout. PiperOrigin-RevId: 163746769 --- Commit efb7fb8e5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use XLA_VLOG_LINES() in literal_test_util to avoid truncation of large tensors. PiperOrigin-RevId: 163745522 --- Commit 043505a09 authored by Suharsh Sivakumar<suharshs@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: MasterSession should throw error if use_per_session_threads or session_inter_op_thread_pool is set. PiperOrigin-RevId: 163743936 --- Commit 6ba02f0e9 authored by Artem Belevich<tra@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Added HasAllocationAt() helper function. PiperOrigin-RevId: 163742985 --- Commit 18304683e authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Pin tensorflow to tensorflow-tensorboard 0.1.x This change will be cherry-picked into the 1.3.0 release. PiperOrigin-RevId: 163742463 --- Commit 3445dd0ed authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make 'import tensorflow' go faster It now takes about 400ms rather than 800ms, if the file system cache is warm. Most of the latency was due to parsing text_format OpList protocol buffers in our generated sources. We now use a binary representation, while preserving the text proto as a comment for readability. Note: This change does not improve the latency of dereferencing tf.contrib, which takes about 340ms. PiperOrigin-RevId: 163739355 --- Commit c215c55d5 authored by Neal Wu<wun@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add missing py_binary for mnist_deep.py PiperOrigin-RevId: 163737503 --- Commit b663c9899 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make non-iterable input to `stratified_sample` produce better error message. PiperOrigin-RevId: 163735979 --- Commit 122750a87 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [SE] Make ExecutorCache thread-safe, change ExecutorCache::Insert to ExecutorCache::GetOrCreate. Add support for creating Executors for different device ordinals in parallel. [XLA] Create Executors in parallel. PiperOrigin-RevId: 163734988 --- Commit 7ebed6678 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add __init__.py to the contrib/cluster_resolver directory so that the Cluster Resolver classes within this are visible to open source TensorFlow users. PiperOrigin-RevId: 163733781 --- Commit 21faf19d0 authored by Shanqing Cai<cais@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Upgrade pip version to 9.0.1; Prettier format of log text * Upgrade pip version used in virtualenv created by the test-on-install to latest (9.0.1). * Highlight step titles of pip builds with bold font. PiperOrigin-RevId: 163732825 --- Commit 5887cc10e authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] In LiteralUtil::StridedConfig: choose the larger dimension between the source and destination shapes' minor-most dimension index. PiperOrigin-RevId: 163732014 --- Commit f9c644693 authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Disable sanitizers for depthwise conv test to fix test flakiness. PiperOrigin-RevId: 163727765 --- Commit 6263539a1 authored by Allen Lavoie<allenl@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Grappler memory optimization: allow inputs to gradients with non-standard names to be recomputed Includes Python tests for name-scoped gradients. PiperOrigin-RevId: 163720208 --- Commit 4ac195669 authored by Benoit Steiner<benoitsteiner@users.noreply.github.com> Committed by GitHub<noreply@github.com>: Branch 163695881 (#11913) * Prevent ctc_loss op from segfaulting when given empty batch. PiperOrigin-RevId: 163663460 * New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents. PiperOrigin-RevId: 163669809 * Minor cleanup PiperOrigin-RevId: 163685423 * Add regression variance over individual trees to TensorForest inference. PiperOrigin-RevId: 163695881 --- Commit b876065af authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: graph_to_function_def gets its own file PiperOrigin-RevId: 163709410 --- Commit 29550762b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixes unit tests for inverse hyperbolic functions that were failing because numeric gradients were computed too close to a branch cut (for complex arguments) or singularity (for real arguments) where the function is not differentiable (See, e.g., http://mathworld.wolfram.com/BranchCut.html). This change moves the test points away from the branch cut/singularity. Improves precision of double precision numerical gradients by using a smaller step size delta (the optimal for symmetric difference approximation with functions computed with O(epsilon) error is epsilon^(1/3), so for double64 it is ~1e-5). PiperOrigin-RevId: 163706297 --- Commit 99b190a1f authored by Peter Hawkins<phawkins@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Add implementation of depthwise convolution. This implementation expands the depthwise convolution kernels into a regular convolution kernel, which may not scale to large feature depths. PiperOrigin-RevId: 163705408 --- Commit f6f07b027 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow kernel unit tests to run on GPU PiperOrigin-RevId: 163705027 --- Commit 4ec29c5d9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Avoid direct access to Node::def() where some other method works. PiperOrigin-RevId: 163704839 --- Commit 153be4d26 authored by Luke Iwanski<luke@codeplay.com> Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>: [OpenCL] Stats tracking (#11523) * Adds stat tracking to the SYCL allocator The SYCLAllocator will now find the max allocation size on construction, and keep track of the allocation stats, as given in AllocationStats. * [OpenCL] Adds buffer size tracking to SYCL allocator (#114) The SYCL buffers underlying tensors already keep track of their sizes, so we can easily provide this tracking information for debugging purposes. --- Commit 8d642672f authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Disabling gmm_test.py on Windows builds as it's flaky on GPU nightly builds. --- Commit 1560c55d2 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add regression variance over individual trees to TensorForest inference. PiperOrigin-RevId: 163695881 --- Commit 15e928d51 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Minor cleanup PiperOrigin-RevId: 163685423 --- Commit f9c758719 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: New "SavedModel: Practical Uses" and "SavedModel: Architecture" documents. PiperOrigin-RevId: 163669809 --- Commit f19bb3beb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Prevent ctc_loss op from segfaulting when given empty batch. PiperOrigin-RevId: 163663460 --- Commit 454fe936c authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit e17650b69 authored by Frank Chen<frankchn@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: This adds the cluster_resolver module to contrib/__init__.py so that it is actually visible to open source TensorFlow users. PiperOrigin-RevId: 163636676 --- Commit 926c0f6ee authored by ??<awsomekde@gmail.com> Committed by GitHub<noreply@github.com>: fix minor typo --- Commit 00d3126a3 authored by Yao Zhang<yaozhang@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change const nodes to variables in the test, so that they are not optimized away by the grappler constant folding pass. PiperOrigin-RevId: 163602405 --- Commit 1c7c9c716 authored by Aditya Dhulipala<aditya.d@hotmail.com> Committed by Vijay Vasudevan<vrv@google.com>: Minor typo correction (#11874) --- Commit f91a3546e authored by Sergii Khomenko<x-sam@brainscode.com> Committed by Vijay Vasudevan<vrv@google.com>: Fix a minor typo (#11873) --- Commit adf5d1bc0 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 163510186 PiperOrigin-RevId: 163902859
* Add a tf.contrib.signal API guide.Gravatar RJ Ryan2017-07-28
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* Remove "small" test size for window_ops_test.Gravatar RJ Ryan2017-07-28
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* Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid ↵Gravatar RJ Ryan2017-07-27
| | | | | | flakiness on macOS. PiperOrigin-RevId: 163426631
* Make fft_length optional for inverse_stftGravatar A. Unique TensorFlower2017-07-25
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* Speed up tf.contrib.signal spectral_ops_test.py by reducing the size of the ↵Gravatar RJ Ryan2017-07-25
| | | | | | gradient test. PiperOrigin-RevId: 163092423
* Fix various mac flakes.Gravatar Jonathan Hseu2017-07-21
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* Documentation fixes and polishing for tf.contrib.signal.Gravatar RJ Ryan2017-07-20
| | | | PiperOrigin-RevId: 162658696
* Merge changes from github.Gravatar Jonathan Hseu2017-07-19
| | | | | | | | | | | | | | | | | END_PUBLIC --- Commit daa67ad17 authored by Jonathan Hseu<vomjom@vomjom.net> Committed by Frank Chen<frankchn@gmail.com>: Remove unittest import (#11596) --- Commit 491beb74c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 162423171 PiperOrigin-RevId: 162541442
* Disable padding by default in tf.contrib.signal.stft to match ↵Gravatar RJ Ryan2017-07-19
| | | | | | tf.contrib.signal.frame. PiperOrigin-RevId: 162523648
* Add Short-time Fourier Transform (STFT) and inverse STFT support to ↵Gravatar RJ Ryan2017-07-19
| | | | | | | | tf.contrib.signal. These are implemented using GPU-capable ops and have gradient support. PiperOrigin-RevId: 162511440
* Add overlap_and_add to tf.contrib.signal.Gravatar RJ Ryan2017-07-14
| | | | | | This is the inverse operation of tf.contrib.signal.frame. This is implemented using GPU-capable ops and supports gradients. PiperOrigin-RevId: 162017464
* Add new features to tf.contrib.signal.frames:Gravatar RJ Ryan2017-07-14
| | | | | | | | | | | - Support arbitrary rank tensors. - Add an `axis` parameter for framing any axis. - Add a `pad_end` and `pad_value` parameter for controlling the signal padding. Padding is disabled by default to avoid a copy of a potentially large Tensor. - Support shape inference of resulting framed tensor. - Expand the tests, including tests for the gradients. - Since `frames` is a noun and not a verb, rename `frames` to `frame`. PiperOrigin-RevId: 161998921
* Add support for generating Hann and Hamming windows to tf.contrib.signal.Gravatar RJ Ryan2017-07-13
| | | | PiperOrigin-RevId: 161891114
* Selected BUILD cleanup in tensorflow/contrib/...Gravatar A. Unique TensorFlower2017-06-20
| | | | PiperOrigin-RevId: 159591663
* Merge changes from github.Gravatar Dan Ringwalt2017-05-05
Change: 155209832
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